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A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
Multifractal Detrended Fluctuation Analysis in Python
A Python library for calculating and displaying the skill of model predictions against observations.
A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)
Code and data for "Upscaling and downscaling Monte Carlo ensembles with generative models" (Scheiter et al., GJI, 2022)
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
Code for clustering FLEXPART trajectories
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
Directory of Fortran codes on GitHub, arranged by topic
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Scripts for active remote sensing MSc course
Code for upscaling soil moisture with Random Forests regression
Code examples for using the originpro Python package to interact with Origin software.
Pytorch implementation of various neural network interpretability methods
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Layer-wise Relevance Propagation (LRP) for LSTMs.
Climate Downscaling using Computer Vision Techniques
A game theoretic approach to explain the output of any machine learning model.
A collection of functions with emphasis on multivariate methods and handling of geographic datasets
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
RBBGCMuso is a software package that supports the application of the Biome-BGCMuSo biogeochemical model.
A python library for user-friendly forecasting and anomaly detection on time series.
[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Python implementation of the rulefit algorithm